ReadyArt/Omega-Arsenal-26B-A4B-Final
archived · low-signalmodel
Text generation model from ReadyArt (HF pipeline tag; the card has no one-line description). Mixture-of-experts, 26B total, 4B active (128 experts, 8 per token). Context: 256K tokens (config). License: apache-2.0.
- Org
- ReadyArt
- Released
- 2026-10-22
- Status
- archived · low-signal
- License
- apache-2.0 (permissive)
- Parameters
- 25.8B total, 4.0B active
- Architecture
- MoE · 128 experts, 8/token · Gemma4ForConditionalGeneration
- Context
- 262,144 tokens
- Task
- text-generation · text
- Signal
- 2 HF likes · 16 downloads
- Archived
- 2026-10-25 (no longer listed by the collector; stats as last seen)
Runs on
real quant files; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~20.7 GB: 24GB GPU (3090 / 4090), 24GB GPU (7900 XTX), Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~30.6 GB: 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), Arc B70 32GB, Mac 48GB, Mac 64GB (M1 Max)
- FP16 ~54.6 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)
Links
First published here 2026-10-22 · updated 2026-10-25 · markdown · JSON